Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/436694
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-01-05T04:19:44Z | - |
dc.date.available | 2023-01-05T04:19:44Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/436694 | - |
dc.description.abstract | newline | |
dc.format.extent | 146 p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Single domain and contextual cross domain recommendation using machine learning and pattern mining techniques | |
dc.title.alternative | ||
dc.creator.researcher | Anwar, Taushif | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.description.note | ||
dc.contributor.guide | Uma,V | |
dc.publisher.place | Pondicherry | |
dc.publisher.university | Pondicherry University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_tilte.pdf | Attached File | 74.3 kB | Adobe PDF | View/Open |
02_ prelim pages.pdf | 272.61 kB | Adobe PDF | View/Open | |
03_content.pdf | 89.6 kB | Adobe PDF | View/Open | |
04_ chapter 1.pdf | 236.76 kB | Adobe PDF | View/Open | |
05_ chapter 2.pdf | 109.97 kB | Adobe PDF | View/Open | |
06_ chapter 3.pdf | 152.29 kB | Adobe PDF | View/Open | |
07_ chapter 4.pdf | 1.61 MB | Adobe PDF | View/Open | |
08_ chapter 5.pdf | 735.5 kB | Adobe PDF | View/Open | |
09_ chapter 6.pdf | 1.55 MB | Adobe PDF | View/Open | |
10_ chapter 7.pdf | 54.18 kB | Adobe PDF | View/Open | |
11_ annexures.pdf | 113.3 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 103.87 kB | Adobe PDF | View/Open |
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